Bayesian analysis of clustered interval-censored data

Journal of Dental Research

Volumn 84, Issue 9, 2005, Pages 817-821

  Wong, M C M ^a   Lam, K F ^a   Lo, E C M ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bayesian approach; Biostatistics; Multilevel modeling; Survival data; WinBUGS

Indexed keywords

ANTICARIES AGENT; FLUORIDE SODIUM; FLUORIDE VARNISH; QUATERNARY AMMONIUM DERIVATIVE; SILVER DIAMINE FLUORIDE;

ARTICLE; BAYES THEOREM; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DENTAL CARIES; DENTAL SURGERY; DENTIN; FEMALE; HEALTH SURVEY; HUMAN; MALE; METHODOLOGY; MONTE CARLO METHOD; OUTCOME ASSESSMENT; PRESCHOOL CHILD; PROBABILITY; PROSPECTIVE STUDY; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; SURVIVAL; TIME;

BAYES THEOREM; CARIOSTATIC AGENTS; CHILD, PRESCHOOL; CLUSTER ANALYSIS; DENTAL CARIES; DENTAL CAVITY PREPARATION; DENTIN; DMF INDEX; FEMALE; FLUORIDES, TOPICAL; HUMANS; MALE; MARKOV CHAINS; MONTE CARLO METHOD; OUTCOME ASSESSMENT (HEALTH CARE); PROSPECTIVE STUDIES; QUATERNARY AMMONIUM COMPOUNDS; REGRESSION ANALYSIS; SODIUM FLUORIDE; SOFTWARE; SURVIVAL ANALYSIS; TIME FACTORS;

EID: 27244434834     PISSN: 00220345     EISSN: None     Source Type: Journal    
DOI: 10.1177/154405910508400907     Document Type: Article

References (29)

1. Allison PD (1995). Survival analysis using the SAS system: a practical guide. North Carolina: SAS Institute.
2. Bayes T (1763). An essay towards solving a problem in the doctrine of chances. Phil Trans R Soc 53:370-418.
3. Bogaerts K, Leroy R, Lesaffre E, Declerck D (2002). Modelling tooth emergence data based on multivariate interval-censored data. Stat Med 21:3775-3787.
4. Bryk AS, Raudenbush S (1992). Hierarchical linear models: applications and data analysis methods. Newbury Park: Sage Publications.
5. Chu CH, Lo EC, Lin HC (2002). Effectiveness of silver fluoride and sodium fluoride varnish in arresting dentin caries in Chinese pre-school children. J Dent Res 81:767-770.
6. Chuang SK, Wei LJ, Douglass CW, Dodson TB (2002a). Risk factors for dental implant failure: a strategy for the analysis of clustered failure-time observations. J Dent Res 81:572-577.
7. Chuang SK, Tian L, Wei LJ, Dodson TB (2002b). Predicting dental implant survival by use of the marginal approach of the semi-parametric survival methods for clustered observations. J Dent Res 81:851-855.
8. Fleming TR, Lin DY (2002). Survival analysis in clinical trials: past developments and future directions. Biometrics 56:971-983.
9. Gilthorpe MS, Maddick IH, Petrie A (2000a). Introduction to Bayesian modelling in dental research. Community Dent Health 17:218-221.
10. Gilthorpe MS, Maddick IH, Petrie A (2000b). Introduction to multilevel modelling in dental research. Community Dent Health 17:222-226.
11. Gilthorpe MS, Mayhew MT, Bulman JS (2002). Multilevel survival analysis of amalgam restorations amongst RAF personnel. Community Dent Health 19:3-11.
12. Hannigan A, O'Mullane DM, Barry D, Schäfer F, Roberts AJ (2001). A re-analysis of a caries clinical trial by survival analysis. J Dent Res 80:427-431.
13. Härkänen T, Virtanen JI, Arjas E (2000). Caries on permanent teeth: a non-parametric Bayesian analysis. Scand J Stat 27:577-588.
14. Härkänen T, Larmas MA, Virtanen JI, Arjas E (2002). Applying modern survival analysis methods to longitudinal dental caries studies. J Dent Res 81:144-148.
15. Ibrahim JG, Chen MH, Sinha D (2001). Bayesian survival analysis. New York: Springer.
16. Leyland AH, Goldstein H, editors (2001). Multilevel modeling of health statistics. Chichester: John Wiley & Sons.
17. Lindeboom M, Van Den Berg GJ (1994). Heterogeneity in models for bivariate survival: the importance of the mixing distribution. J R Stat Soc Series B 56:49-60.
18. Lindsey JC, Ryan LM (1998). Tutorial in biostatistics methods for interval-censored data. Stat Med 17:219-238; erratum 18:890, 1999.
19. Lo EC, Chu CH, Lin HC (2001). A community-based caries control program for pre-school children using topical fluorides: 18-month results. J Dent Res 80:2071-2074.
20. Petrie A, Bulman JS, Osborn JF (2003). Further statistics in dentistry. Part 9: Bayesian statistics. Br Dent J 194:129-134.
21. Prentice RL, Gloeckler LA (1978). Regression analysis of grouped survival data with application to breast cancer data. Biometrics 34:57-67.
22. Spiegelhalter DJ (2001). Bayesian methods for clustered randomized trials with continuous responses. Stat Med 20:435-452.
23. Spiegelhalter DJ, Freedman LS, Parmer MKB (1994). Bayesian approaches to randomized trials. J R Stat Soc Series A 157:357-387.
24. Spiegelhalter DJ, Thomas A, Best NG, Gilks WR (1996a). BUGS examples. Vol. 1. Version 0.5. Cambridge: MRC Biostatistics Unit.
25. Spiegelhalter DJ, Thomas A, Best NG, Gilks WR (1996b). BUGS examples. Vol. 2. Version 0.5. Cambridge: MRC Biostatistics Unit.
26. Spiegelhalter DJ, Thomas A, Best NG (1999). WinBUGS Version. 1.2 user manual. Cambridge: MRC Biostatistics Unit.
27. Spiegelhalter DJ, Abrams KR, Myles JP (2004). Bayesian approaches to clinical trials and health-care evaluation. West Sussex: John Wiley & Sons.
28. SPSS Inc. (2002). SPSS 11.5 advanced models. Chicago: SPSS Inc.
29. Venables WN, Ripley BD (1999). Modern applied statistics with S-Plus (3rd ed.). New York: Springer.